{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7d0d179d",
   "metadata": {},
   "source": [
    "# THE CODE IS IN MY GITHUB!!!\n",
    "Go and checkout my github if you want the to_candle file!\n",
    "## https://github.com/kecoma1/Trading_BOT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dc133857",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import to_candle"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f1c665d2",
   "metadata": {},
   "source": [
    "## Candle dataframe\n",
    "This dataframe is obtained through the from_tick_to_candle function. The dataframe contains the following columns:\n",
    "* **TIME-UTC**: UTC-TIME since epoch in seconds.\n",
    "* **OPEN**: Open price of that candle.\n",
    "* **CLOSE**: Close price of the candle.\n",
    "* **HIGH**: Highest price of the candle.\n",
    "* **LOW**: Lowest price of the candle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "794baf27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TIME-UTC</th>\n",
       "      <th>OPEN</th>\n",
       "      <th>CLOSE</th>\n",
       "      <th>HIGH</th>\n",
       "      <th>LOW</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.633298e+09</td>\n",
       "      <td>110.881</td>\n",
       "      <td>110.935</td>\n",
       "      <td>110.940</td>\n",
       "      <td>110.908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.633299e+09</td>\n",
       "      <td>110.935</td>\n",
       "      <td>110.911</td>\n",
       "      <td>110.935</td>\n",
       "      <td>110.939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.633300e+09</td>\n",
       "      <td>110.911</td>\n",
       "      <td>110.942</td>\n",
       "      <td>110.942</td>\n",
       "      <td>110.939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.633301e+09</td>\n",
       "      <td>110.942</td>\n",
       "      <td>110.918</td>\n",
       "      <td>110.969</td>\n",
       "      <td>110.977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.633302e+09</td>\n",
       "      <td>110.918</td>\n",
       "      <td>110.933</td>\n",
       "      <td>111.029</td>\n",
       "      <td>110.930</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       TIME-UTC     OPEN    CLOSE     HIGH      LOW\n",
       "0  1.633298e+09  110.881  110.935  110.940  110.908\n",
       "1  1.633299e+09  110.935  110.911  110.935  110.939\n",
       "2  1.633300e+09  110.911  110.942  110.942  110.939\n",
       "3  1.633301e+09  110.942  110.918  110.969  110.977\n",
       "4  1.633302e+09  110.918  110.933  111.029  110.930"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "candle_df = to_candle.from_tick_to_candle(\"USDJPY.csv\", 15*60)\n",
    "candle_df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ea75aa13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "del candle_df[\"TIME-UTC\"]\n",
    "candle_df.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1bf5fd6c",
   "metadata": {},
   "source": [
    "## Technical analysis library - ta.trend.EMAIndicator\n",
    "**pip install ta**\n",
    "\n",
    "Using the *ta* library we are going to load the EMA information of the current dataframe using the *close column*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a6b946a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ta.trend import EMAIndicator\n",
    "ema_object =EMAIndicator(candle_df[\"CLOSE\"], window=9, fillna=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1371837",
   "metadata": {},
   "source": [
    "Computing the EMA value.\n",
    "\n",
    "### EMA values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "96b14e45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "446    111.753125\n",
       "447    111.720900\n",
       "448    111.698920\n",
       "449    111.709536\n",
       "450    111.747829\n",
       "Name: ema_9, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ema = ema_object.ema_indicator()\n",
    "ema.tail(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0920ec80",
   "metadata": {},
   "source": [
    "# EMA PLOT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "98396333",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ema.plot(figsize=(20, 10))"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "b3ba2566441a7c06988d0923437866b63cedc61552a5af99d1f4fb67d367b25f"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
